K2 Extracted Lightcurves (k2sff)
This page describes the K2 extracted lightcurves produced by
Vanderburg and Johnson. The current release includes Campaigns 0 though
13 plus the pre-campaign 0 engineering targets.
K2 Extracted Lightcurves (k2varcat)
This HLSP includes extracted and detrended lightcurves for sources
classified as "star" or "extended source". They also provide a
variability catalog that includes a type (eclipsing binary, periodic,
aperiodic, quasi-periodic), a period, a range, and an amplitude.
The lightcurve FITS files, preivew plots, and variability catalog
are all available at the MAST HLSP page and in the MAST Discovery Portal.
Campaigns 0 to 4 light curves are currently available.
K2 Systematics Correction (k2sc)
K2SC (K2 Systematics Correction) is a K2 light curve (LC) detrending tool
produced by Aigrain et al, that uses Gaussian processes (GPs) to robustly
model the systematics due to the Kepler telescope pointing jitter together
with the astrophysical variability.
Light curves from Campaigns 3 through 8 and Campaign 10 are available.
EPIC Variability Extraction and Removal for Exoplanet
EVEREST is an open-source pipeline for removing instrumental systematics from K2 light curves, using a combination of pixel-level decorrelations to remove spacecraft pointing error and Gaussian processes to capture astrophysical variability.
Light curves from campaigns 0 through 8 are currently available.
K2 Galactic Archaeology Project (K2GAP) K2GAP uses K2SFF-detrended
light curves, applies additional processing to them, and then measures asteroseismology parameters
(dnu and numax) for red giants observed with K2 using six different seismology pipelines. The team
provides their version of the detrended light curves, power spectra, and a catalog of the dnu and numax
values for their targets.
K2 Extragalactic Survey Project (KEGS)
The KEGS project creates detrended light curves for extragalactic targets observed in K2. The team constructs
their own cotrending basis vectors (CBVs) using the galaxies on each channel using a PCA analysis,
solving for CBV coefficients alongside the sawtooth pattern coefficients introduced by the pointing drift.